Human Generated Data

Title

Plate II

Date

16th century

People

Artist: Hans Leonhard Schäufelein, German c. 1480 - 1539/40

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Paul J. Sachs, M2142

Human Generated Data

Title

Plate II

People

Artist: Hans Leonhard Schäufelein, German c. 1480 - 1539/40

Date

16th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Paul J. Sachs, M2142

Machine Generated Data

Tags

Amazon
created on 2019-08-06

Art 91.4
Human 91.1
Person 89.6
Painting 83.5
Drawing 64.7

Clarifai
created on 2019-08-06

people 99.8
print 99.8
engraving 99.5
art 99.3
illustration 99.3
wear 95.9
adult 95.2
etching 94.7
leader 94
one 92.8
man 92.1
group 91.8
woodcut 91.5
royalty 87.6
veil 87.5
portrait 86.4
two 85.7
monarch 85.2
antique 85
gown (clothing) 84.4

Imagga
created on 2019-08-06

lace 53.4
embroidery 50.3
vestment 24.4
clothing 23.3
gown 23.2
art 21.8
antique 19.6
old 18.1
religion 17
design 16.3
fashion 15.1
outerwear 14.7
ancient 13.8
culture 13.7
dress 13.6
drawing 13.3
vintage 13.2
decoration 13
element 12.4
retro 12.3
religious 12.2
ornament 12.1
style 11.9
sculpture 11.8
elegance 11.8
traditional 11.6
statue 11.6
human 11.2
ornate 11
pattern 10.9
body 10.4
black 10.2
classic 10.2
top 10.1
texture 9.7
anatomy 9.7
faith 9.6
graphic 9.5
sketch 9.4
face 9.2
decorative 9.2
history 8.9
people 8.9
decor 8.8
catholic 8.8
symbol 8.8
man 8.7
paper 8.6
grunge 8.5
portrait 8.4
modern 8.4
adult 8.4
frame 8.3
costume 8.1
fabric 8
science 8
close 8
medical 7.9
covering 7.8
architecture 7.8
prayer 7.7
person 7.7
stone 7.6
feminine 7.5
lingerie 7.5
shape 7.4
sensuality 7.3
celebration 7.2
posing 7.1
male 7.1

Google
created on 2019-08-06

Outerwear 71.7
Art 70.9
Costume design 70.4
Prophet 66.3
Illustration 65.5
Drawing 51.1

Microsoft
created on 2019-08-06

sketch 99.8
drawing 99.6
text 97.1
book 96.4
illustration 92.2
cartoon 91.8
clothing 81.4
engraving 72.4
person 62.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Female, 57.8%
Confused 10%
Sad 14.7%
Happy 6.6%
Calm 10.4%
Disgusted 17.9%
Angry 33.8%
Surprised 6.7%

AWS Rekognition

Age 20-38
Gender Male, 86.4%
Angry 10.2%
Happy 6.3%
Surprised 6.5%
Sad 9%
Calm 59.4%
Disgusted 4.6%
Confused 4%

Feature analysis

Amazon

Person 89.6%
Painting 83.5%

Categories

Captions